Indiana Kretzschmar is passionate about computational biology, mathematical modeling, and building reliable scientific tools. They are deeply interested in genetic design automation and data validation, especially through work on the Excel-to-SBOL pipeline to make biological part libraries cleaner, more structured, and easier to use. Indiana also cares about how math — from optimization methods to PDE models in finance and biology — can be used to solve real-world problems. They are dedicated to sharpening their software skills and applying rigorous quantitative thinking to advance research at the intersection of synthetic biology and applied mathematics.